Award-Winning Microeconomics Tutors
serving Winston-Salem, NC

Consumer choice theory, production functions, market structures — microeconomics is full of models that look abstract until someone shows you how they map onto real behavior. Natalie's dual focus in economics and engineering at Duke means she approaches these models both intuitively and mathematically, breaking down each graph until the logic behind it is clear.

Because Bailey studied economics at Duke — where the curriculum leans heavily on formal microeconomic modeling — she's worked through the full sequence: consumer and producer theory, elasticity, market structures, and the welfare analysis that ties them together. Her 3.94 GPA in that program signals she actually retained the mechanics, from setting up Lagrangians for constrained optimization to interpreting what happens graphically when a tax wedge enters a competitive market.

With an applied math degree and PhD-level engineering work, Professor Florence tackles microeconomics from a deeply quantitative angle — the kind that makes optimization problems, constrained utility maximization, and cost function analysis feel like natural extensions of calculus rather than foreign territory. She teaches the mathematical machinery behind economic models so students understand what they're solving, not just how to push symbols around on an exam.

Chemical engineering coursework is essentially applied optimization — minimizing costs, maximizing output, working within constraints — which maps directly onto how microeconomics models firm behavior and resource allocation. Devin uses that quantitative instinct to unpack concepts like supply-and-demand shifts and elasticity calculations, connecting the graphs to the underlying logic rather than treating them as standalone diagrams. Rated 5.0 by students.

Consumer and producer theory, cost curves, market structures — microeconomics is built on a surprisingly small set of tools that get applied in dozens of ways. Rishi's economics and econometrics background lets him show exactly how those tools connect, so students aren't re-learning each chapter from scratch. He holds a 5.0 client rating.

Elasticity, marginal cost curves, and consumer surplus can feel abstract until someone maps them onto decisions people actually make. Victoria explains microeconomic concepts by grounding them in real examples — why a coffee shop prices drinks the way it does, or how a subsidy shifts market outcomes — making the math and the theory reinforce each other.

Indifference curves, elasticity, market structures — microeconomics has a visual logic that most textbooks bury under jargon. Ben's economics coursework means he can walk through each graph from intuition to math, so students understand why a monopolist's marginal revenue curve sits below demand rather than just accepting it.

From elasticity calculations to game theory matrices, microeconomics demands both intuition and precision. Trevor majored in economics at Dartmouth, where micro theory was central to his coursework, and he unpacks each concept by walking through the underlying logic of consumer and firm behavior before layering on the math.

I am open to helping any student of any age with nearly any subject (math, reading, writing, biology, chemistry, economics, civics, Spanish etc). I'm also happy to help with test prep (hello SAT and ACT takers), as well as college application assistance. I'm a strong believer in a patient, non-judgmental, non-intimidating approach to tutoring, and I really try to prioritize the comfort of my students. As someone who has used tutoring myself in some of my harder classes in college, I understand that not everything comes easily to everyone, so I want all of my students to feel comfortable asking any and all questions they might have, or going over a topic as many times as needed to understand it. I'm all about friendly, humble service!

I am a graduate of the University of California - Berkeley where I received my Bachelor of Arts in Economics and Data Science. Throughout college, I have volunteered with numerous education equity organizations dedicated to helping children from challenging socioeconomic backgrounds thrive in school; taught Reading to students K-8, taught for a summer enrichment program , and worked as a group tutor for data science at university. Whether it is working with younger students build their foundations or helping older students advance in core subjects, I have a passion for education and making learning as fun and accessible as possible! Outside of tutoring, I work as an economic researcher in the public sector and volunteer at environmental oriented non-profits.

Sami earned his economics and computer science degrees at Duke, then moved into management consulting and corporate finance before starting his MBA at Yale — so when he teaches concepts like profit maximization under different market structures or strategic pricing in oligopolies, he's drawing on decisions he's actually watched firms make. That blend of academic rigor and industry experience makes the leap from textbook models to problem-set application much smoother.

Supply and demand curves are just the starting point — the real challenge in microeconomics is applying them to consumer theory, production costs, and market structures like oligopoly and monopolistic competition. Ezra's economics degree gives him deep fluency with these models, and his finance background means he can connect textbook graphs to actual pricing and strategy decisions students find intuitive.

At UCLA, Christopher studied economics with a double major that gave him both the quantitative models and the historical context behind how markets actually develop — useful when explaining why perfectly competitive markets rarely exist or how government intervention reshapes incentive structures. His time at Deutsche Bank adds a practical dimension to topics like firm pricing behavior and cost analysis, since he's seen how businesses weigh marginal decisions with real money on the line.

From elasticity calculations to the subtleties of monopolistic competition, microeconomics demands comfort with both graphical reasoning and mathematical precision. Olivia's dual background — a BA in math and economics from Vanderbilt plus doctoral-level training at UNC Chapel Hill — lets her walk through utility maximization and cost curve analysis with genuine fluency rather than surface-level definitions.

Cognitive science trained Amanda to think about how people make decisions under constraints — which is essentially what microeconomics formalizes with models of consumer choice, firm behavior, and resource allocation. She breaks down the reasoning behind concepts like utility maximization and market equilibria by connecting them to the decision-making frameworks she studied at Northwestern, making the abstract logic behind the graphs feel grounded and intuitive.

Cole's master's thesis at the University of Amsterdam focused on monetary policy and banking — work that required building up from micro-level foundations like how individual banks optimize lending decisions and how interest rate changes ripple through firm behavior. That research depth means he can teach concepts like price discrimination, cost minimization, and strategic interaction with the kind of precision that comes from having used them analytically, not just memorized them for an exam. Rated 5.0 by students.

Supply and demand curves are just the beginning — Nisarg digs into the trickier concepts like elasticity, marginal utility, and market structures that separate a surface-level understanding from real economic thinking. His background debating politics and economics means he can connect abstract models to real-world pricing, competition, and policy decisions that make the theory click.

I am currently working in a Bronx Public School as a teaching apprentice in Algebra. I have four years of experience tutoring one on one with students of all ages.

As an economics major at Dartmouth, Eric studies microeconomic models — game theory, firm pricing strategies, consumer optimization — with the formal rigor of a top program, not just a survey-level overview. His strong quantitative background (1520 SAT, heavy calculus coursework) means he can walk through the math behind indifference curves or profit maximization while keeping the economic intuition front and center. Rated 5.0 by students.

Kyle's statistics degree means he's fluent in the quantitative reasoning that underpins microeconomic analysis — interpreting slopes on cost curves, thinking through marginal changes, and modeling how rational agents optimize under constraints. He brings that statistical intuition to topics like elasticity and market efficiency, where students often struggle to connect the math to what's actually happening in a market. Rated 4.9 by students.

Mary's PhD in Chemistry from the University of Chicago means she spent years doing the kind of constrained optimization and quantitative modeling that microeconomics relies on — minimizing costs, maximizing outputs, interpreting how variables shift on a graph. She pairs that analytical rigor with MBA coursework that gave her direct exposure to firm behavior, pricing strategy, and market dynamics. It's a combination that lets her teach both the calculus behind profit maximization and the business logic that makes it meaningful.

Introductory microeconomics is where Reed cut his teeth as a tutor — he served as a prefect and TA for Carleton College's micro courses, running both classroom sessions and one-on-one reviews. He digs into consumer and producer theory, cost curves, and market structures with an emphasis on connecting the graphs to the underlying math so each concept reinforces the other.